MSc Computer Science at Anglia Ruskin University

Programme overview

Prepare for a career in advanced computing with expertise in web technologies, machine learning, semantic data and cyber security at ARU in Cambridge. Course durations vary slightly: 12 months (September starts), or 20 months (January starts). The Professional Experience option takes 2 years.

Duration: 1 year full-time; 2 years with professional experience | Study mode: full-time | Intake: September 2027, January 2027 | Location: Chelmsford, England, United Kingdom

What you will study

Solve real-world problems using advanced computer science techniques. This course spans web technologies, machine learning, cybersecurity and semantic data technologies, giving you an advanced understanding of contemporary computer science. Year 1: Machine Learning in Finance, Semantic Data Technologies, Machine Learning for Imaging, Research Methods, Advanced Web Solutions, Cyber Security and AI Case Studies, Postgraduate Major Project.

Career pathways

The MSc Computer Science gave me confidence, practical skills, and a research mindset to build impactful AI solutions for industry. Gain career-ready computing expertise.

Official programme page

Application information

Entry requirements

A first degree, with honours, in a related subject and at a minimum final classification of lower second (2:2) or equivalent. If English is not your first language you will be expected to demonstrate a certificated level of proficiency of at least IELTS 6.5 ( Academic level) or equivalent English Language qualification, as recognised by Anglia Ruskin University.

Domestic applicants: GBP 10,800 a year (2027/28). Tuition fee: UK students starting 2027/28 (full-time, per year) Source

International applicants: GBP 20,925 a year (2027/28). Tuition fee: International students starting 2027/28 (full-time, per year) Source

Intake: September 2027, January 2027

Duration: 1 year full-time; 2 years with professional experience

Apply through the official page: https://www.aru.ac.uk/study/apply-online?course=&route=p0077,p1234

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